该文模拟不同空间分辨率的遥感图像中混合像元造成的误分类情况，同时应用线性模型对混合像元进行了分解提纯，用以提高分辨率精度。

This article simulates misclassification because of mixed pixels on different spatial resolution images, then applies linear model to decompose mixed pixel, so as to improve classification accuracy.

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但应注意伪像与产品自身缺陷的区别，以避免产生误检。

However, it should be noticed that the artifact differs from the product defect, to protect from error detection.

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